by TranSpread The proposed model architecture. Note: TTA: test-time augmentation. Credit: Data Science and Management (2024). DOI: 10.1016/j.dsm.2024.10.002 Led by Aliyu Tetengi Ibrahim and his team at Ahmadu Bello University, a study published in Data Science and Management on November 2, 2024, introduces an innovative AI model that could revolutionize the way dermatologists detect skin cancer. ADVERTISING By harnessing the power...
Tag: <span>skin cancer detection</span>
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Direct-to-consumer skin cancer detection apps are failing to detect life-threatening cancers, new study finds
SAY COMMUNICATIONS LUGANO, 30 September, 2021 – A new study has found that a direct-to-consumer machine learning model for detecting skin cancers incorrectly classified rare and aggressive cancers as low-risk.1 The breakthrough findings presented at today’s 30th EADV Congress suggest that making apps based on such models available directly to the public without transparency on performance metrics for...